DocumentCode :
3631785
Title :
Sliding-mode neural network robot controller
Author :
R. Safaric;K. Jezernik;M. Rodic;A. Sabanovic;S. Uran
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
Volume :
1
fYear :
1996
Firstpage :
395
Abstract :
The theoretical development of a trajectory tracking neural network controller based on the theory of sliding-mode controllers is shown in the paper. Derived equations of the neural network controller were verified on a direct drive 2-DOF SCARA mechanism model. The new neural network controller was compared with a neural network controller based on the computed torque method. At last we made an application on a real 2-DOF SCARA robot mechanism by the neural network controller based on the computed torque method and a sliding-mode neural network controller on a real single axis direct drive robotic manipulator driven by an induction motor.
Keywords :
"Neural networks","Robot control","Sliding mode control","Torque control","Equations","Computer networks","Vectors","Robust control","Force control","State-space methods"
Publisher :
ieee
Conference_Titel :
Advanced Motion Control, 1996. AMC ´96-MIE. Proceedings., 1996 4th International Workshop on
Print_ISBN :
0-7803-3219-9
Type :
conf
DOI :
10.1109/AMC.1996.509439
Filename :
509439
Link To Document :
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